Search Results for author: Hua Zhou

Found 13 papers, 5 papers with code

Extensions to the Proximal Distance Method of Constrained Optimization

no code implementations2 Sep 2020 Alfonso Landeros, Oscar Hernan Madrid Padilla, Hua Zhou, Kenneth Lange

The current paper studies the problem of minimizing a loss $f(\boldsymbol{x})$ subject to constraints of the form $\boldsymbol{D}\boldsymbol{x} \in S$, where $S$ is a closed set, convex or not, and $\boldsymbol{D}$ is a matrix that fuses parameters.

Clustering Image Denoising

High-Performance Statistical Computing in the Computing Environments of the 2020s

1 code implementation7 Jan 2020 Seyoon Ko, Hua Zhou, Jin Zhou, Joong-Ho Won

To our knowledge, this is the first demonstration of the feasibility of penalized regression of survival outcomes at this scale.

Computation

Orthogonal Trace-Sum Maximization: Applications, Local Algorithms, and Global Optimality

1 code implementation8 Nov 2018 Joong-Ho Won, Hua Zhou, Kenneth Lange

Through a close inspection of Ky Fan's classical result (1949) on the variational formulation of the sum of largest eigenvalues of a symmetric matrix, and a semidefinite programming (SDP) relaxation of the latter, we first provide a simple method to certify global optimality of a given stationary point of OTSM.

Optimization and Control Computation

Matrix Linear Discriminant Analysis

no code implementations24 Sep 2018 Wei Hu, Weining Shen, Hua Zhou, Dehan Kong

We propose a novel linear discriminant analysis approach for the classification of high-dimensional matrix-valued data that commonly arises from imaging studies.

General Classification regression

Provable Convex Co-clustering of Tensors

no code implementations17 Mar 2018 Eric C. Chi, Brian R. Gaines, Will Wei Sun, Hua Zhou, Jian Yang

Our convex co-clustering (CoCo) estimator enjoys stability guarantees and its computational and storage costs are polynomial in the size of the data.

Clustering Computational Efficiency

A Novel Co-design Peta-scale Heterogeneous Cluster for Deep Learning Training

no code implementations7 Feb 2018 Xin Chen, Hua Zhou, Yuxiang Gao, Yu Zhu

Therefore, MiMatrix intrinsically solves the bandwidth bottleneck of central node in parameter server framework that is widely used in distributed DL tasks.

Scheduling

Deep Neural Network Capacity

no code implementations16 Aug 2017 Aosen Wang, Hua Zhou, Wenyao Xu, Xin Chen

However, the capacity of deep neural network architecture is still a mystery to the researchers.

Quantization valid

ChineseFoodNet: A large-scale Image Dataset for Chinese Food Recognition

1 code implementation8 May 2017 Xin Chen, Yu Zhu, Hua Zhou, Liang Diao, Dongyan Wang

In this paper, we introduce a new and challenging large-scale food image dataset called "ChineseFoodNet", which aims to automatically recognizing pictured Chinese dishes.

Food Recognition

Algorithms for Fitting the Constrained Lasso

1 code implementation28 Oct 2016 Brian R. Gaines, Hua Zhou

We compare alternative computing strategies for solving the constrained lasso problem.

Proximal Distance Algorithms: Theory and Examples

1 code implementation19 Apr 2016 Kevin L. Keys, Hua Zhou, Kenneth Lange

If $f(\boldsymbol{x})$ is the loss function, and $C$ is the constraint set in a constrained minimization problem, then the proximal distance principle mandates minimizing the penalized loss $f(\boldsymbol{x})+\frac{\rho}{2}\mathop{dist}(x, C)^2$ and following the solution $\boldsymbol{x}_{\rho}$ to its limit as $\rho$ tends to $\infty$.

Optimization and Control 90C59, 90C26, 65K05

Distance Majorization and Its Applications

no code implementations16 Nov 2012 Eric C. Chi, Hua Zhou, Kenneth Lange

The problem of minimizing a continuously differentiable convex function over an intersection of closed convex sets is ubiquitous in applied mathematics.

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